Early warning method and system for vehicle collision event in construction operation area

Abstract

The invention relates to an early warning method and system for a vehicle collision event in a construction operation area. The method comprises the following steps of 1) acquiring millimeter wave radar reflection data of a vehicle, 2) acquiring real-time running state data of the vehicle by using millimeter wave radar reflection data of the vehicle, 3) judging whether the vehicle has an abnormal driving behavior or not based on the real-time running state data of the vehicle, and 4) sending an early warning signal to an alarm device in a construction area according to the abnormal driving behavior of the vehicle judged in the step 3). Compared with the prior art, the method can provide early warning for rear vehicle collision events for construction area operators, active protection of life safety of the construction area operators is achieved, the accident rate of the construction area is reduced, and the operation safety level of roads in the construction area is improved.

Description

technical field [0001] The invention relates to the technical field of traffic big data applications, in particular to a method and system for early warning of vehicle collision events in construction work areas. Background technique [0002] As a means of traffic data collection, millimeter-wave radar has achieved rapid development in the field of traffic, and has been gradually applied to many aspects such as vehicle collision avoidance detection, traffic information collection, driverless environment perception, etc. The application of information collection has been relatively popular, but the application of early warning of high-risk vehicle behavior is relatively rare. Because the radar detector has the advantages of easy installation, no influence of weather, no damage to the road surface, strong anti-interference ability in complex environments, and convenient maintenance in the later stage, it shows good application potential in road data collection and abnormal veh...

AI Technical Summary

Problems solved by technology

[0003] The traditional protection measures for road construction areas mainly adopt the method of setting warning information signs, warning lights and road enclosure facilities upstream of the construction area, which can only provide early warning for passing vehicles, and cannot meet the needs of active early warning for construction area operators. It is difficult to monitor the abnormal behavior of vehicles, and warn construction workers in real time to pay attention to the risk of vehicles crashing into construction areas

[0004] At present, there are two main problems in the road vehicle collision warning system in the construction work area. One is that the data collection method mainly adopts the method of video monitoring, and the method of video monitoring is affected by the image processing algorithm, and the recognition accuracy is low and affected by environmental factors. The second is that some early warning systems using radar have a single function. Generally, they only provide early warnings for the most basic abnormal behaviors such as illegal parking or speeding. Early warning systems for various abnormal driving behaviors need to be developed

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